Information Extraction papers, 2023–2026

Key findings

• Information Extraction went from 143 papers in 2023 to 266 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Information Extraction work: 287 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 28 in 2026.
• Among the 5 topics under Natural Language, it ranks #3 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
• ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
• CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
• NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
• ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
• ICLR 2025ADAM: An Embodied Causal Agent in Open-World Environments
• CVPR 2025A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
• NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
• ICML 2024An Information-Theoretic Analysis of In-Context Learning
• ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
• CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
• NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
• ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
• ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
• CVPR 2023"Seeing" Electric Network Frequency From Events
• NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
• ICML 2026GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
• ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
• CVPR 2026Beyond Whats Shared Recovering Lost Unique Information from Intermediate Layers

All Information Extraction papers

80 papers, page 1 of 2

1. NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
2. NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
3. NeurIPS 2025Balanced Active Inference
4. NeurIPS 2025ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction
5. NeurIPS 2025ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
6. NeurIPS 2025Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
7. NeurIPS 2025Conformal Information Pursuit for Interactively Guiding Large Language Models
8. NeurIPS 2025Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
9. NeurIPS 2025CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
10. NeurIPS 2025CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
11. NeurIPS 2025DataSIR: A Benchmark Dataset for Sensitive Information Recognition
12. NeurIPS 2025Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
13. NeurIPS 2025Decomposing stimulus-specific sensory neural information via diffusion models
14. NeurIPS 2025Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
15. NeurIPS 2025Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games
16. NeurIPS 2025Enhancing Privacy in Multimodal Federated Learning with Information Theory
17. NeurIPS 2025Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
18. NeurIPS 2025Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
19. NeurIPS 2025Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
20. NeurIPS 2025FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
21. NeurIPS 2025Feedback-Aware MCTS for Goal-Oriented Information Seeking
22. NeurIPS 2025FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
23. NeurIPS 2025FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
24. NeurIPS 2025From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
25. NeurIPS 2025From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
26. NeurIPS 2025Glocal Information Bottleneck for Time Series Imputation
27. NeurIPS 2025Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
28. NeurIPS 2025Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
29. NeurIPS 2025H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
30. NeurIPS 2025HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
31. NeurIPS 2025Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
32. NeurIPS 2025High Resolution UDF Meshing via Iterative Networks
33. NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
34. NeurIPS 2025IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
35. NeurIPS 2025Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
36. NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
37. NeurIPS 2025InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
38. NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
39. NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
40. NeurIPS 2025Information-Driven Design of Imaging Systems
41. NeurIPS 2025Information-Theoretic Discrete Diffusion
42. NeurIPS 2025Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
43. NeurIPS 2025Information-Theoretic Reward Decomposition for Generalizable RLHF
44. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
45. NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
46. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
47. NeurIPS 2025Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
48. NeurIPS 2025Long-Tailed Recognition via Information-Preservable Two-Stage Learning
49. NeurIPS 2025Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
50. NeurIPS 2025Median Selection with Noisy and Structural Information

FAQ

How many Information Extraction papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

798 in total: 143 in 2023, 190 in 2024, 199 in 2025, 266 in 2026.

How many Information Extraction papers are at NeurIPS 2026?

NeurIPS 2026 has 96 Information Extraction papers, versus 80 the year before.

How many Information Extraction papers are at ICLR 2026?

ICLR 2026 has 63 Information Extraction papers, versus 50 the year before.

How many Information Extraction papers are at ICML 2026?

ICML 2026 has 74 Information Extraction papers, versus 46 the year before.

How many Information Extraction papers are at CVPR 2026?

CVPR 2026 has 33 Information Extraction papers, versus 23 the year before.

Which conference publishes the most Information Extraction papers?

NeurIPS, with 287 papers from 2023 to 2026.